Description

Bootstrapping
is a statistical method that uses data resampling with replacement
(see: generate_sample_indices)
to estimate the properties of nearly any statistic. It is particularly useful
when dealing with small sample sizes. A key feature is that bootstrapping makes
no apriori assumption about the distribution of the sample data.